Articles | Volume 15, issue 7
https://doi.org/10.5194/tc-15-3423-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-3423-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jul 2021
Research article |
| 22 Jul 2021
| 22 Jul 2021
Lateral thermokarst patterns in permafrost peat plateaus in northern Norway
Léo C. P. Martin
CORRESPONDING AUTHOR
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Faculty of Geosciences, Utrecht University, Utrecht, The Netherlands
Jan Nitzbon
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research,
Telegrafenberg A45, 14473 Potsdam, Germany
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Johanna Scheer
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Technical University of Denmark, Anker Engelunds Vej 1, Lyngby, Denmark
Kjetil S. Aas
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Trond Eiken
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Moritz Langer
Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research,
Telegrafenberg A45, 14473 Potsdam, Germany
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
Simon Filhol
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Bernd Etzelmüller
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Sebastian Westermann
CORRESPONDING AUTHOR
Department of Geosciences, University of Oslo, Blindern, 0316 Oslo, Norway
Center for Biogeochemistry in the Anthropocene, Oslo, Norway
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Geosci. Model Dev., 15, 3603–3639, https://doi.org/10.5194/gmd-15-3603-2022, https://doi.org/10.5194/gmd-15-3603-2022, 2022
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The Arctic has large areas of small mounds that are caused by ice lifting up the soil. Snow blown by wind gathers in hollows next to these mounds, insulating them in winter. The hollows tend to be wetter, and thus the soil absorbs more heat in summer. The warm wet soil in the hollows decomposes, releasing methane. We have made a model of this, and we have tested how it behaves and whether it looks like sites in Scandinavia and Siberia. Sometimes we get more methane than a model without mounds.
Stefan Kruse, Simone M. Stuenzi, Julia Boike, Moritz Langer, Josias Gloy, and Ulrike Herzschuh
Geosci. Model Dev., 15, 2395–2422, https://doi.org/10.5194/gmd-15-2395-2022, https://doi.org/10.5194/gmd-15-2395-2022, 2022
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We coupled established models for boreal forest (LAVESI) and permafrost dynamics (CryoGrid) in Siberia to investigate interactions of the diverse vegetation layer with permafrost soils. Our tests showed improved active layer depth estimations and newly included species growth according to their species-specific limits. We conclude that the new model system can be applied to simulate boreal forest dynamics and transitions under global warming and disturbances, expanding our knowledge.
Sarah E. Chadburn, Eleanor J. Burke, Angela V. Gallego-Sala, Noah D. Smith, M. Syndonia Bret-Harte, Dan J. Charman, Julia Drewer, Colin W. Edgar, Eugenie S. Euskirchen, Krzysztof Fortuniak, Yao Gao, Mahdi Nakhavali, Włodzimierz Pawlak, Edward A. G. Schuur, and Sebastian Westermann
Geosci. Model Dev., 15, 1633–1657, https://doi.org/10.5194/gmd-15-1633-2022, https://doi.org/10.5194/gmd-15-1633-2022, 2022
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We present a new method to include peatlands in an Earth system model (ESM). Peatlands store huge amounts of carbon that accumulates very slowly but that can be rapidly destabilised, emitting greenhouse gases. Our model captures the dynamic nature of peat by simulating the change in surface height and physical properties of the soil as carbon is added or decomposed. Thus, we model, for the first time in an ESM, peat dynamics and its threshold behaviours that can lead to destabilisation.
Bernd Etzelmüller, Justyna Czekirda, Florence Magnin, Pierre-Allain Duvillard, Ludovic Ravanel, Emanuelle Malet, Andreas Aspaas, Lene Kristensen, Ingrid Skrede, Gudrun D. Majala, Benjamin Jacobs, Johannes Leinauer, Christian Hauck, Christin Hilbich, Martina Böhme, Reginald Hermanns, Harald Ø. Eriksen, Tom Rune Lauknes, Michael Krautblatter, and Sebastian Westermann
Earth Surf. Dynam., 10, 97–129, https://doi.org/10.5194/esurf-10-97-2022, https://doi.org/10.5194/esurf-10-97-2022, 2022
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This paper is a multi-authored study documenting the possible existence of permafrost in permanently monitored rockslides in Norway for the first time by combining a multitude of field data, including geophysical surveys in rock walls. The paper discusses the possible role of thermal regime and rockslide movement, and it evaluates the possible impact of atmospheric warming on rockslide dynamics in Norwegian mountains.
Thorben Dunse, Kaixing Dong, Kjetil Schanke Aas, and Leif Christian Stige
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We investigate the effect of glacier meltwater on phytoplankton dynamics in Svalbard. Phytoplankton forms the basis of the marine food web, and its seasonal dynamics depend on the availability of light and nutrients, both of which are affected by glacier runoff. We use satellite ocean color, an indicator of phytoplankton biomass, and glacier mass balance modeling to find that the overall effect of glacier runoff on marine productivity is positive within the major fjord systems of Svalbard.
Greg E. Bodeker, Jan Nitzbon, Jordis S. Tradowsky, Stefanie Kremser, Alexander Schwertheim, and Jared Lewis
Earth Syst. Sci. Data, 13, 3885–3906, https://doi.org/10.5194/essd-13-3885-2021, https://doi.org/10.5194/essd-13-3885-2021, 2021
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Ozone in Earth's atmosphere has undergone significant changes since first measured systematically from space in the late 1970s. The purpose of the paper is to present a new, spatially filled, global total column ozone climate data record spanning from October 1978 to December 2016. The database is compiled from measurements from 17 different satellite-based instruments where offsets and drifts between the instruments have been corrected using ground-based measurements.
Juditha Undine Schmidt, Bernd Etzelmüller, Thomas Vikhamar Schuler, Florence Magnin, Julia Boike, Moritz Langer, and Sebastian Westermann
The Cryosphere, 15, 2491–2509, https://doi.org/10.5194/tc-15-2491-2021, https://doi.org/10.5194/tc-15-2491-2021, 2021
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This study presents rock surface temperatures (RSTs) of steep high-Arctic rock walls on Svalbard from 2016 to 2020. The field data show that coastal cliffs are characterized by warmer RSTs than inland locations during winter seasons. By running model simulations, we analyze factors leading to that effect, calculate the surface energy balance and simulate different future scenarios. Both field data and model results can contribute to a further understanding of RST in high-Arctic rock walls.
Thomas Schneider von Deimling, Hanna Lee, Thomas Ingeman-Nielsen, Sebastian Westermann, Vladimir Romanovsky, Scott Lamoureux, Donald A. Walker, Sarah Chadburn, Erin Trochim, Lei Cai, Jan Nitzbon, Stephan Jacobi, and Moritz Langer
The Cryosphere, 15, 2451–2471, https://doi.org/10.5194/tc-15-2451-2021, https://doi.org/10.5194/tc-15-2451-2021, 2021
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Climate warming puts infrastructure built on permafrost at risk of failure. There is a growing need for appropriate model-based risk assessments. Here we present a modelling study and show an exemplary case of how a gravel road in a cold permafrost environment in Alaska might suffer from degrading permafrost under a scenario of intense climate warming. We use this case study to discuss the broader-scale applicability of our model for simulating future Arctic infrastructure failure.
Rebecca Rolph, Pier Paul Overduin, Thomas Ravens, Hugues Lantuit, and Moritz Langer
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-28, https://doi.org/10.5194/gmd-2021-28, 2021
Revised manuscript not accepted
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Declining sea ice, larger waves, and increasing air temperatures are contributing to a rapidly eroding Arctic coastline. We simulate water levels using wind speed and direction, which are used with wave height, wave period, and sea surface temperature to drive an erosion model of a partially frozen cliff and beach. This provides a first step to include Arctic erosion in larger-scale earth system models. Simulated cumulative retreat rates agree within the same order of magnitude as observations.
Jan Nitzbon, Moritz Langer, Léo C. P. Martin, Sebastian Westermann, Thomas Schneider von Deimling, and Julia Boike
The Cryosphere, 15, 1399–1422, https://doi.org/10.5194/tc-15-1399-2021, https://doi.org/10.5194/tc-15-1399-2021, 2021
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We used a numerical model to investigate how small-scale landscape heterogeneities affect permafrost thaw under climate-warming scenarios. Our results show that representing small-scale heterogeneities in the model can decide whether a landscape is water-logged or well-drained in the future. This in turn affects how fast permafrost thaws under warming. Our research emphasizes the importance of considering small-scale processes in model assessments of permafrost thaw under climate change.
Simone Maria Stuenzi, Julia Boike, William Cable, Ulrike Herzschuh, Stefan Kruse, Luidmila A. Pestryakova, Thomas Schneider von Deimling, Sebastian Westermann, Evgenii S. Zakharov, and Moritz Langer
Biogeosciences, 18, 343–365, https://doi.org/10.5194/bg-18-343-2021, https://doi.org/10.5194/bg-18-343-2021, 2021
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Boreal forests in eastern Siberia are an essential component of global climate patterns. We use a physically based model and field measurements to study the interactions between forests, permanently frozen ground and the atmosphere. We find that forests exert a strong control on the thermal state of permafrost through changing snow cover dynamics and altering the surface energy balance, through absorbing most of the incoming solar radiation and suppressing below-canopy turbulent fluxes.
Lei Cai, Hanna Lee, Kjetil Schanke Aas, and Sebastian Westermann
The Cryosphere, 14, 4611–4626, https://doi.org/10.5194/tc-14-4611-2020, https://doi.org/10.5194/tc-14-4611-2020, 2020
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A sub-grid representation of excess ground ice in the Community Land Model (CLM) is developed as novel progress in modeling permafrost thaw and its impacts under the warming climate. The modeled permafrost degradation with sub-grid excess ice follows the pathway that continuous permafrost transforms into discontinuous permafrost before it disappears, including surface subsidence and talik formation, which are highly permafrost-relevant landscape changes excluded from most land models.
Øyvind Seland, Mats Bentsen, Dirk Olivié, Thomas Toniazzo, Ada Gjermundsen, Lise Seland Graff, Jens Boldingh Debernard, Alok Kumar Gupta, Yan-Chun He, Alf Kirkevåg, Jörg Schwinger, Jerry Tjiputra, Kjetil Schanke Aas, Ingo Bethke, Yuanchao Fan, Jan Griesfeller, Alf Grini, Chuncheng Guo, Mehmet Ilicak, Inger Helene Hafsahl Karset, Oskar Landgren, Johan Liakka, Kine Onsum Moseid, Aleksi Nummelin, Clemens Spensberger, Hui Tang, Zhongshi Zhang, Christoph Heinze, Trond Iversen, and Michael Schulz
Geosci. Model Dev., 13, 6165–6200, https://doi.org/10.5194/gmd-13-6165-2020, https://doi.org/10.5194/gmd-13-6165-2020, 2020
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The second version of the coupled Norwegian Earth System Model (NorESM2) is presented and evaluated. The temperature and precipitation patterns has improved compared to NorESM1. The model reaches present-day warming levels to within 0.2 °C of observed temperature but with a delayed warming during the late 20th century. Under the four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5), the warming in the period of 2090–2099 compared to 1850–1879 reaches 1.3, 2.2, 3.1, and 3.9 K.
L. Girod and S. Filhol
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 375–379, https://doi.org/10.5194/isprs-annals-V-3-2020-375-2020, https://doi.org/10.5194/isprs-annals-V-3-2020-375-2020, 2020
Jaroslav Obu, Sebastian Westermann, Gonçalo Vieira, Andrey Abramov, Megan Ruby Balks, Annett Bartsch, Filip Hrbáček, Andreas Kääb, and Miguel Ramos
The Cryosphere, 14, 497–519, https://doi.org/10.5194/tc-14-497-2020, https://doi.org/10.5194/tc-14-497-2020, 2020
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Little is known about permafrost in the Antarctic outside of the few research stations. We used a simple equilibrium permafrost model to estimate permafrost temperatures in the whole Antarctic. The lowest permafrost temperature on Earth is −36 °C in the Queen Elizabeth Range in the Transantarctic Mountains. Temperatures are commonly between −23 and −18 °C in mountainous areas rising above the Antarctic Ice Sheet, between −14 and −8 °C in coastal areas, and up to 0 °C on the Antarctic Peninsula.
Joel Fiddes, Kristoffer Aalstad, and Sebastian Westermann
Hydrol. Earth Syst. Sci., 23, 4717–4736, https://doi.org/10.5194/hess-23-4717-2019, https://doi.org/10.5194/hess-23-4717-2019, 2019
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In this paper we address one of the big challenges in snow hydrology, namely the accurate simulation of the seasonal snowpack in ungauged regions. We do this by assimilating satellite observations of snow cover into a modelling framework. Importantly (and a novelty of the paper), we include a clustering approach that permits highly efficient ensemble simulations. Efficiency gains and dependency on purely global datasets, means that this method can be applied over large areas anywhere on Earth.
Florence Magnin, Bernd Etzelmüller, Sebastian Westermann, Ketil Isaksen, Paula Hilger, and Reginald L. Hermanns
Earth Surf. Dynam., 7, 1019–1040, https://doi.org/10.5194/esurf-7-1019-2019, https://doi.org/10.5194/esurf-7-1019-2019, 2019
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This study proposes the first permafrost (i.e. ground with temperature permanently < 0 °C) map covering the steep rock slopes of Norway. It was created by using rock temperature data collected at the near surface of 25 rock walls spread across the country between 2010 and 2018. The map shows that permafrost mostly exists above 1300–1400 m a.s.l. in southern Norway and close to sea level in northern Norway. The results have strong potential for the study of rock wall sliding and failure.
Lei Cai, Hanna Lee, Sebastian Westermann, and Kjetil Schanke Aas
The Cryosphere Discuss., https://doi.org/10.5194/tc-2019-230, https://doi.org/10.5194/tc-2019-230, 2019
Preprint withdrawn
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We develop a sub-grid representation of excess ground ice in the Community Land Model (CLM) by adding three landunits to the original CLM sub-grid hierarchy, in order to prescribe three different excess ice conditions in one grid cell. Single-grid simulations verify the potential of the model development on better projecting excess ice melt in a warming climate. Global simulations recommend the proper way of applying the model development with the existing excess ice dataset.
Jan Nitzbon, Moritz Langer, Sebastian Westermann, Léo Martin, Kjetil Schanke Aas, and Julia Boike
The Cryosphere, 13, 1089–1123, https://doi.org/10.5194/tc-13-1089-2019, https://doi.org/10.5194/tc-13-1089-2019, 2019
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We studied the stability of ice wedges (massive bodies of ground ice in permafrost) under recent climatic conditions in the Lena River delta of northern Siberia. For this we used a novel modelling approach that takes into account lateral transport of heat, water, and snow and the subsidence of the ground surface due to melting of ground ice. We found that wetter conditions have a destabilizing effect on the ice wedges and associated our simulation results with observations from the study area.
Julia Boike, Jan Nitzbon, Katharina Anders, Mikhail Grigoriev, Dmitry Bolshiyanov, Moritz Langer, Stephan Lange, Niko Bornemann, Anne Morgenstern, Peter Schreiber, Christian Wille, Sarah Chadburn, Isabelle Gouttevin, Eleanor Burke, and Lars Kutzbach
Earth Syst. Sci. Data, 11, 261–299, https://doi.org/10.5194/essd-11-261-2019, https://doi.org/10.5194/essd-11-261-2019, 2019
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Long-term observational data are available from the Samoylov research site in northern Siberia, where meteorological parameters, energy balance, and subsurface observations have been recorded since 1998. This paper presents the temporal data set produced between 2002 and 2017, explaining the instrumentation, calibration, processing, and data quality control. Furthermore, we present a merged dataset of the parameters, which were measured from 1998 onwards.
David Holl, Christian Wille, Torsten Sachs, Peter Schreiber, Benjamin R. K. Runkle, Lutz Beckebanze, Moritz Langer, Julia Boike, Eva-Maria Pfeiffer, Irina Fedorova, Dimitry Y. Bolshianov, Mikhail N. Grigoriev, and Lars Kutzbach
Earth Syst. Sci. Data, 11, 221–240, https://doi.org/10.5194/essd-11-221-2019, https://doi.org/10.5194/essd-11-221-2019, 2019
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We present a multi-annual time series of land–atmosphere carbon dioxide fluxes measured in situ with the eddy covariance technique in the Siberian Arctic. In arctic permafrost regions, climate–carbon feedbacks are amplified. Therefore, increased efforts to better represent these regions in global climate models have been made in recent years. Up to now, the available database of in situ measurements from the Arctic was biased towards Alaska and records from the Eurasian Arctic were scarce.
Kjetil S. Aas, Léo Martin, Jan Nitzbon, Moritz Langer, Julia Boike, Hanna Lee, Terje K. Berntsen, and Sebastian Westermann
The Cryosphere, 13, 591–609, https://doi.org/10.5194/tc-13-591-2019, https://doi.org/10.5194/tc-13-591-2019, 2019
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Many permafrost landscapes contain large amounts of excess ground ice, which gives rise to small-scale elevation differences. This results in lateral fluxes of snow, water, and heat, which we investigate and show how it can be accounted for in large-scale models. Using a novel model technique which can account for these differences, we are able to model both the current state of permafrost and how these landscapes change as permafrost thaws, in a way that could not previously be achieved.
Isabelle Gouttevin, Moritz Langer, Henning Löwe, Julia Boike, Martin Proksch, and Martin Schneebeli
The Cryosphere, 12, 3693–3717, https://doi.org/10.5194/tc-12-3693-2018, https://doi.org/10.5194/tc-12-3693-2018, 2018
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Snow insulates the ground from the cold air in the Arctic winter, majorly affecting permafrost. This insulation depends on snow characteristics and is poorly quantified. Here, we characterize it at a carbon-rich permafrost site, using a recent technique that retrieves the 3-D structure of snow and its thermal properties. We adapt a snowpack model enabling the simulation of this insulation over a whole winter. We estimate that local snow variations induce up to a 6 °C spread in soil temperatures.
Julia Boike, Inge Juszak, Stephan Lange, Sarah Chadburn, Eleanor Burke, Pier Paul Overduin, Kurt Roth, Olaf Ippisch, Niko Bornemann, Lielle Stern, Isabelle Gouttevin, Ernst Hauber, and Sebastian Westermann
Earth Syst. Sci. Data, 10, 355–390, https://doi.org/10.5194/essd-10-355-2018, https://doi.org/10.5194/essd-10-355-2018, 2018
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A 20-year data record from the Bayelva site at Ny-Ålesund, Svalbard, is presented on meteorology, energy balance components, surface and subsurface observations. This paper presents the data set, instrumentation, calibration, processing and data quality control. The data show that mean annual, summer and winter soil temperature data from shallow to deeper depths have been warming over the period of record, indicating the degradation and loss of permafrost at this site.
Kristoffer Aalstad, Sebastian Westermann, Thomas Vikhamar Schuler, Julia Boike, and Laurent Bertino
The Cryosphere, 12, 247–270, https://doi.org/10.5194/tc-12-247-2018, https://doi.org/10.5194/tc-12-247-2018, 2018
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We demonstrate how snow cover data from satellites can be used to constrain estimates of snow distributions at sites in the Arctic. In this effort, we make use of data assimilation to combine the information contained in the snow cover data with a simple snow model. By comparing our snow distribution estimates to independent observations, we find that this method performs favorably. Being modular, this method could be applied to other areas as a component of a larger reanalysis system.
Sarah E. Chadburn, Gerhard Krinner, Philipp Porada, Annett Bartsch, Christian Beer, Luca Belelli Marchesini, Julia Boike, Altug Ekici, Bo Elberling, Thomas Friborg, Gustaf Hugelius, Margareta Johansson, Peter Kuhry, Lars Kutzbach, Moritz Langer, Magnus Lund, Frans-Jan W. Parmentier, Shushi Peng, Ko Van Huissteden, Tao Wang, Sebastian Westermann, Dan Zhu, and Eleanor J. Burke
Biogeosciences, 14, 5143–5169, https://doi.org/10.5194/bg-14-5143-2017, https://doi.org/10.5194/bg-14-5143-2017, 2017
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Earth system models (ESMs) are our main tools for understanding future climate. The Arctic is important for the future carbon cycle, particularly due to the large carbon stocks in permafrost. We evaluated the performance of the land component of three major ESMs at Arctic tundra sites, focusing on the fluxes and stocks of carbon.
We show that the next steps for model improvement are to better represent vegetation dynamics, to include mosses and to improve below-ground carbon cycle processes.
Johannes Jakob Fürst, Fabien Gillet-Chaulet, Toby J. Benham, Julian A. Dowdeswell, Mariusz Grabiec, Francisco Navarro, Rickard Pettersson, Geir Moholdt, Christopher Nuth, Björn Sass, Kjetil Aas, Xavier Fettweis, Charlotte Lang, Thorsten Seehaus, and Matthias Braun
The Cryosphere, 11, 2003–2032, https://doi.org/10.5194/tc-11-2003-2017, https://doi.org/10.5194/tc-11-2003-2017, 2017
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For the large majority of glaciers and ice caps, there is no information on the thickness of the ice cover. Any attempt to predict glacier demise under climatic warming and to estimate the future contribution to sea-level rise is limited as long as the glacier thickness is not well constrained. Here, we present a two-step mass-conservation approach for mapping ice thickness. Measurements are naturally reproduced. The reliability is readily assessible from a complementary map of error estimates.
Sebastian Westermann, Maria Peter, Moritz Langer, Georg Schwamborn, Lutz Schirrmeister, Bernd Etzelmüller, and Julia Boike
The Cryosphere, 11, 1441–1463, https://doi.org/10.5194/tc-11-1441-2017, https://doi.org/10.5194/tc-11-1441-2017, 2017
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We demonstrate a remote-sensing-based scheme estimating the evolution of ground temperature and active layer thickness by means of a ground thermal model. A comparison to in situ observations from the Lena River delta in Siberia indicates that the model is generally capable of reproducing the annual temperature regime and seasonal thawing of the ground. The approach could hence be a first step towards remote detection of ground thermal conditions in permafrost areas.
Sina Muster, Kurt Roth, Moritz Langer, Stephan Lange, Fabio Cresto Aleina, Annett Bartsch, Anne Morgenstern, Guido Grosse, Benjamin Jones, A. Britta K. Sannel, Ylva Sjöberg, Frank Günther, Christian Andresen, Alexandra Veremeeva, Prajna R. Lindgren, Frédéric Bouchard, Mark J. Lara, Daniel Fortier, Simon Charbonneau, Tarmo A. Virtanen, Gustaf Hugelius, Juri Palmtag, Matthias B. Siewert, William J. Riley, Charles D. Koven, and Julia Boike
Earth Syst. Sci. Data, 9, 317–348, https://doi.org/10.5194/essd-9-317-2017, https://doi.org/10.5194/essd-9-317-2017, 2017
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Waterbodies are abundant in Arctic permafrost lowlands. Most waterbodies are ponds with a surface area smaller than 100 x 100 m. The Permafrost Region Pond and Lake Database (PeRL) for the first time maps ponds as small as 10 x 10 m. PeRL maps can be used to document changes both by comparing them to historical and future imagery. The distribution of waterbodies in the Arctic is important to know in order to manage resources in the Arctic and to improve climate predictions in the Arctic.
Luc Girod, Christopher Nuth, Andreas Kääb, Bernd Etzelmüller, and Jack Kohler
The Cryosphere, 11, 827–840, https://doi.org/10.5194/tc-11-827-2017, https://doi.org/10.5194/tc-11-827-2017, 2017
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While gathering data on a changing environment is often a costly and complicated endeavour, it is also the backbone of all research. What if one could measure elevation change by just strapping a camera and a hiking GPS under an helicopter or a small airplane used for transportation and gather data on the ground bellow the flight path? In this article, we present a way to do exactly that and show an example survey where it helped compute the volume of ice lost by a glacier in Svalbard.
Amund F. Borge, Sebastian Westermann, Ingvild Solheim, and Bernd Etzelmüller
The Cryosphere, 11, 1–16, https://doi.org/10.5194/tc-11-1-2017, https://doi.org/10.5194/tc-11-1-2017, 2017
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Palsas and peat plateaus are permafrost landforms in subarctic mires which constitute sensitive ecosystems with strong significance for vegetation, wildlife, hydrology and carbon cycle. We have systematically mapped the occurrence of palsas and peat plateaus in northern Norway by interpretation of aerial images from the 1950s until today. The results show that about half of the area of palsas and peat plateaus has disappeared due to lateral erosion and melting of ground ice in the last 50 years.
Kjersti Gisnås, Sebastian Westermann, Thomas Vikhamar Schuler, Kjetil Melvold, and Bernd Etzelmüller
The Cryosphere, 10, 1201–1215, https://doi.org/10.5194/tc-10-1201-2016, https://doi.org/10.5194/tc-10-1201-2016, 2016
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In wind exposed areas snow redistribution results in large spatial variability in ground temperatures. In these areas, the ground temperature of a grid cell must be determined based on the distribution, and not the average, of snow depths. We employ distribution functions of snow in a regional permafrost model, showing highly improved representation of ground temperatures. By including snow distributions, we find the permafrost area to be nearly twice as large as what is modelled without.
Kjetil S. Aas, Thorben Dunse, Emily Collier, Thomas V. Schuler, Terje K. Berntsen, Jack Kohler, and Bartłomiej Luks
The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, https://doi.org/10.5194/tc-10-1089-2016, 2016
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A high-resolution, coupled atmosphere--climatic mass balance (CMB) model is applied to Svalbard for the period 2003 to 2013. The mean CMB during this period is negative but displays large spatial and temporal variations. Comparison with observations on different scales shows a good overall model performance except for one particular glacier, where wind strongly affects the spatial patterns of CMB. The model also shows considerable sensitivity to model resolution, especially on local scales.
S. Westermann, M. Langer, J. Boike, M. Heikenfeld, M. Peter, B. Etzelmüller, and G. Krinner
Geosci. Model Dev., 9, 523–546, https://doi.org/10.5194/gmd-9-523-2016, https://doi.org/10.5194/gmd-9-523-2016, 2016
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Thawing of permafrost is governed by a complex interplay of different processes, of which only conductive heat transfer is taken into account in most model studies. We present a new land-surface scheme designed for permafrost applications, CryoGrid 3, which constitutes a flexible platform to explore new parameterizations for a range of permafrost processes.
S. Westermann, T. I. Østby, K. Gisnås, T. V. Schuler, and B. Etzelmüller
The Cryosphere, 9, 1303–1319, https://doi.org/10.5194/tc-9-1303-2015, https://doi.org/10.5194/tc-9-1303-2015, 2015
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We use remotely sensed land surface temperature and land cover in conjunction with air temperature and snowfall from a reanalysis product as input for a simple permafrost model. The scheme is applied to the permafrost regions bordering the North Atlantic. A comparison with ground temperatures in boreholes suggests a modeling accuracy of 2 to 2.5 °C.
S. Westermann, B. Elberling, S. Højlund Pedersen, M. Stendel, B. U. Hansen, and G. E. Liston
The Cryosphere, 9, 719–735, https://doi.org/10.5194/tc-9-719-2015, https://doi.org/10.5194/tc-9-719-2015, 2015
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The development of ground temperatures in permafrost areas is influenced by many factors varying on different spatial and temporal scales. We present numerical simulations of ground temperatures for the Zackenberg valley in NE Greenland, which take into account the spatial variability of snow depths, surface and ground properties at a scale of 10m. The ensemble of the model grid cells suggests a spatial variability of annual average ground temperatures of up to 5°C.
M. Langer, S. Westermann, K. Walter Anthony, K. Wischnewski, and J. Boike
Biogeosciences, 12, 977–990, https://doi.org/10.5194/bg-12-977-2015, https://doi.org/10.5194/bg-12-977-2015, 2015
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Methane production rates of Arctic ponds during the freezing period within a typical tundra landscape in northern Siberia are presented. Production rates were inferred by inverse modeling based on measured methane concentrations in the ice cover. Results revealed marked differences in early winter methane production among ponds showing different stages of shore degradation. This suggests that shore erosion can increase methane production of Arctic ponds by 2 to 3 orders of magnitude.
J. Lüers, S. Westermann, K. Piel, and J. Boike
Biogeosciences, 11, 6307–6322, https://doi.org/10.5194/bg-11-6307-2014, https://doi.org/10.5194/bg-11-6307-2014, 2014
K. Gisnås, S. Westermann, T. V. Schuler, T. Litherland, K. Isaksen, J. Boike, and B. Etzelmüller
The Cryosphere, 8, 2063–2074, https://doi.org/10.5194/tc-8-2063-2014, https://doi.org/10.5194/tc-8-2063-2014, 2014
S. Westermann, T. V. Schuler, K. Gisnås, and B. Etzelmüller
The Cryosphere, 7, 719–739, https://doi.org/10.5194/tc-7-719-2013, https://doi.org/10.5194/tc-7-719-2013, 2013
Related subject area
Discipline: Frozen ground | Subject: Numerical Modelling
Coupled thermo–geophysical inversion for permafrost monitoring
Simulating ice segregation and thaw consolidation in permafrost environments with the CryoGrid community model
Investigating the thermal state of permafrost with Bayesian inverse modeling of heat transfer
Representation of soil hydrology in permafrost regions may explain large part of inter-model spread in simulated Arctic and subarctic climate
Simulating the current and future northern limit of permafrost on the Qinghai–Tibet Plateau
Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models
Strong increase in thawing of subsea permafrost in the 22nd century caused by anthropogenic climate change
A method for solving heat transfer with phase change in ice or soil that allows for large time steps while guaranteeing energy conservation
Effects of multi-scale heterogeneity on the simulated evolution of ice-rich permafrost lowlands under a warming climate
Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change
Pathways of ice-wedge degradation in polygonal tundra under different hydrological conditions
Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model
Observation and modelling of snow at a polygonal tundra permafrost site: spatial variability and thermal implications
The physical properties of coarse-fragment soils and their effects on permafrost dynamics: a case study on the central Qinghai–Tibetan Plateau
Soňa Tomaškovičová and Thomas Ingeman-Nielsen
The Cryosphere, 18, 321–340, https://doi.org/10.5194/tc-18-321-2024, https://doi.org/10.5194/tc-18-321-2024, 2024
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We present the results of a fully coupled modeling framework for simulating the ground thermal regime using only surface measurements to calibrate the thermal model. The heat conduction model is forced by surface ground temperature measurements and calibrated using the field measurements of time lapse apparent electrical resistivity. The resistivity-calibrated thermal model achieves a performance comparable to the traditional calibration of borehole temperature measurements.
Juditha Aga, Julia Boike, Moritz Langer, Thomas Ingeman-Nielsen, and Sebastian Westermann
The Cryosphere, 17, 4179–4206, https://doi.org/10.5194/tc-17-4179-2023, https://doi.org/10.5194/tc-17-4179-2023, 2023
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This study presents a new model scheme for simulating ice segregation and thaw consolidation in permafrost environments, depending on ground properties and climatic forcing. It is embedded in the CryoGrid community model, a land surface model for the terrestrial cryosphere. We describe the model physics and functionalities, followed by a model validation and a sensitivity study of controlling factors.
Brian Groenke, Moritz Langer, Jan Nitzbon, Sebastian Westermann, Guillermo Gallego, and Julia Boike
The Cryosphere, 17, 3505–3533, https://doi.org/10.5194/tc-17-3505-2023, https://doi.org/10.5194/tc-17-3505-2023, 2023
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It is now well known from long-term temperature measurements that Arctic permafrost, i.e., ground that remains continuously frozen for at least 2 years, is warming in response to climate change. Temperature, however, only tells half of the story. In this study, we use computer modeling to better understand how the thawing and freezing of water in the ground affects the way permafrost responds to climate change and what temperature trends can and cannot tell us about how permafrost is changing.
Philipp de Vrese, Goran Georgievski, Jesus Fidel Gonzalez Rouco, Dirk Notz, Tobias Stacke, Norman Julius Steinert, Stiig Wilkenskjeld, and Victor Brovkin
The Cryosphere, 17, 2095–2118, https://doi.org/10.5194/tc-17-2095-2023, https://doi.org/10.5194/tc-17-2095-2023, 2023
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The current generation of Earth system models exhibits large inter-model differences in the simulated climate of the Arctic and subarctic zone. We used an adapted version of the Max Planck Institute (MPI) Earth System Model to show that differences in the representation of the soil hydrology in permafrost-affected regions could help explain a large part of this inter-model spread and have pronounced impacts on important elements of Earth systems as far to the south as the tropics.
Jianting Zhao, Lin Zhao, Zhe Sun, Fujun Niu, Guojie Hu, Defu Zou, Guangyue Liu, Erji Du, Chong Wang, Lingxiao Wang, Yongping Qiao, Jianzong Shi, Yuxin Zhang, Junqiang Gao, Yuanwei Wang, Yan Li, Wenjun Yu, Huayun Zhou, Zanpin Xing, Minxuan Xiao, Luhui Yin, and Shengfeng Wang
The Cryosphere, 16, 4823–4846, https://doi.org/10.5194/tc-16-4823-2022, https://doi.org/10.5194/tc-16-4823-2022, 2022
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Permafrost has been warming and thawing globally; this is especially true in boundary regions. We focus on the changes and variability in permafrost distribution and thermal dynamics in the northern limit of permafrost on the Qinghai–Tibet Plateau (QTP) by applying a new permafrost model. Unlike previous papers on this topic, our findings highlight a slow, decaying process in the response of permafrost in the QTP to a warming climate, especially regarding areal extent.
Bo Gao and Ethan T. Coon
The Cryosphere, 16, 4141–4162, https://doi.org/10.5194/tc-16-4141-2022, https://doi.org/10.5194/tc-16-4141-2022, 2022
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Representing water at constant density, neglecting cryosuction, and neglecting heat advection are three commonly applied but not validated simplifications in permafrost models to reduce computation complexity at field scale. We investigated this problem numerically by Advanced Terrestrial Simulator and found that neglecting cryosuction can cause significant bias (10%–60%), constant density primarily affects predicting water saturation, and ignoring heat advection has the least impact.
Stiig Wilkenskjeld, Frederieke Miesner, Paul P. Overduin, Matteo Puglini, and Victor Brovkin
The Cryosphere, 16, 1057–1069, https://doi.org/10.5194/tc-16-1057-2022, https://doi.org/10.5194/tc-16-1057-2022, 2022
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Thawing permafrost releases carbon to the atmosphere, enhancing global warming. Part of the permafrost soils have been flooded by rising sea levels since the last ice age, becoming subsea permafrost (SSPF). The SSPF is less studied than the part on land. In this study we use a global model to obtain rates of thawing of SSPF under different future climate scenarios until the year 3000. After the year 2100 the scenarios strongly diverge, closely connected to the eventual disappearance of sea ice.
Niccolò Tubini, Stephan Gruber, and Riccardo Rigon
The Cryosphere, 15, 2541–2568, https://doi.org/10.5194/tc-15-2541-2021, https://doi.org/10.5194/tc-15-2541-2021, 2021
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We present a new method to compute temperature changes with melting and freezing – a fundamental challenge in cryosphere research – extremely efficiently and with guaranteed correctness of the energy balance for any time step size. This is a key feature since the integration time step can then be chosen according to the timescale of the processes to be studied, from seconds to days.
Jan Nitzbon, Moritz Langer, Léo C. P. Martin, Sebastian Westermann, Thomas Schneider von Deimling, and Julia Boike
The Cryosphere, 15, 1399–1422, https://doi.org/10.5194/tc-15-1399-2021, https://doi.org/10.5194/tc-15-1399-2021, 2021
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We used a numerical model to investigate how small-scale landscape heterogeneities affect permafrost thaw under climate-warming scenarios. Our results show that representing small-scale heterogeneities in the model can decide whether a landscape is water-logged or well-drained in the future. This in turn affects how fast permafrost thaws under warming. Our research emphasizes the importance of considering small-scale processes in model assessments of permafrost thaw under climate change.
Eleanor J. Burke, Yu Zhang, and Gerhard Krinner
The Cryosphere, 14, 3155–3174, https://doi.org/10.5194/tc-14-3155-2020, https://doi.org/10.5194/tc-14-3155-2020, 2020
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Permafrost will degrade under future climate change. This will have implications locally for the northern high-latitude regions and may well also amplify global climate change. There have been some recent improvements in the ability of earth system models to simulate the permafrost physical state, but further model developments are required. Models project the thawed volume of soil in the top 2 m of permafrost will increase by 10 %–40 % °C−1 of global mean surface air temperature increase.
Jan Nitzbon, Moritz Langer, Sebastian Westermann, Léo Martin, Kjetil Schanke Aas, and Julia Boike
The Cryosphere, 13, 1089–1123, https://doi.org/10.5194/tc-13-1089-2019, https://doi.org/10.5194/tc-13-1089-2019, 2019
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We studied the stability of ice wedges (massive bodies of ground ice in permafrost) under recent climatic conditions in the Lena River delta of northern Siberia. For this we used a novel modelling approach that takes into account lateral transport of heat, water, and snow and the subsidence of the ground surface due to melting of ground ice. We found that wetter conditions have a destabilizing effect on the ice wedges and associated our simulation results with observations from the study area.
Kjetil S. Aas, Léo Martin, Jan Nitzbon, Moritz Langer, Julia Boike, Hanna Lee, Terje K. Berntsen, and Sebastian Westermann
The Cryosphere, 13, 591–609, https://doi.org/10.5194/tc-13-591-2019, https://doi.org/10.5194/tc-13-591-2019, 2019
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Many permafrost landscapes contain large amounts of excess ground ice, which gives rise to small-scale elevation differences. This results in lateral fluxes of snow, water, and heat, which we investigate and show how it can be accounted for in large-scale models. Using a novel model technique which can account for these differences, we are able to model both the current state of permafrost and how these landscapes change as permafrost thaws, in a way that could not previously be achieved.
Isabelle Gouttevin, Moritz Langer, Henning Löwe, Julia Boike, Martin Proksch, and Martin Schneebeli
The Cryosphere, 12, 3693–3717, https://doi.org/10.5194/tc-12-3693-2018, https://doi.org/10.5194/tc-12-3693-2018, 2018
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Snow insulates the ground from the cold air in the Arctic winter, majorly affecting permafrost. This insulation depends on snow characteristics and is poorly quantified. Here, we characterize it at a carbon-rich permafrost site, using a recent technique that retrieves the 3-D structure of snow and its thermal properties. We adapt a snowpack model enabling the simulation of this insulation over a whole winter. We estimate that local snow variations induce up to a 6 °C spread in soil temperatures.
Shuhua Yi, Yujie He, Xinlei Guo, Jianjun Chen, Qingbai Wu, Yu Qin, and Yongjian Ding
The Cryosphere, 12, 3067–3083, https://doi.org/10.5194/tc-12-3067-2018, https://doi.org/10.5194/tc-12-3067-2018, 2018
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Coarse-fragment soil on the Qinghai–Tibetan Plateau has different thermal and hydrological properties to soils commonly used in modeling studies. We took soil samples and measured their physical properties in a laboratory, which were used in a model to simulate their effects on permafrost dynamics. Model errors were reduced using the measured properties, in which porosity played an dominant role.
Cited articles
Aalto, J., Venäläinen, A., Heikkinen, R. K., and Luoto, M.: Potential
for extreme loss in high-latitude Earth surface processes due to climate
change, Geophys. Res. Lett., 41, 3914–3924, https://doi.org/10.1002/2014GL060095,
2014.
Aalto, J., Harrison, S., and Luoto, M.: Statistical modelling predicts almost
complete loss of major periglacial processes in Northern Europe by, Nat.
Commun., 8, 515, https://doi.org/10.1038/s41467-017-00669-3, 2017.
Aas, K. S., Dunse, T., Collier, E., Schuler, T. V., Berntsen, T. K., Kohler, J., and Luks, B.: The climatic mass balance of Svalbard glaciers: a 10-year simulation with a coupled atmosphere–glacier mass balance model, The Cryosphere, 10, 1089–1104, https://doi.org/10.5194/tc-10-1089-2016, 2016.
Aas, K. S., Martin, L., Nitzbon, J., Langer, M., Boike, J., Lee, H., Berntsen, T. K., and Westermann, S.: Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model, The Cryosphere, 13, 591–609, https://doi.org/10.5194/tc-13-591-2019, 2019.
Andresen, C. G., Lawrence, D. M., Wilson, C. J., McGuire, A. D., Koven, C., Schaefer, K., Jafarov, E., Peng, S., Chen, X., Gouttevin, I., Burke, E., Chadburn, S., Ji, D., Chen, G., Hayes, D., and Zhang, W.: Soil moisture and hydrology projections of the permafrost region – a model intercomparison, The Cryosphere, 14, 445–459, https://doi.org/10.5194/tc-14-445-2020, 2020.
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss
avalanche warning, Cold Reg. Sci. Technol., 35, 123–145,
https://doi.org/10.1016/S0165-232X(02)00074-5, 2002.
Beck, I., Ludwig, R., Bernier, M., Strozzi, T., and Boike, J.: Vertical movements of frost mounds in subarctic permafrost regions analyzed using geodetic survey and satellite interferometry, Earth Surf. Dynam., 3, 409–421, https://doi.org/10.5194/esurf-3-409-2015, 2015.
Bintanja, R. and Andry, O.: Towards a rain-dominated Arctic, Nat. Clim.
Chang., 7, 263–267, https://doi.org/10.1038/nclimate3240, 2017.
Biskaborn, B. K., Smith, S. L., Noetzli, J., Matthes, H., Vieira, G.,
Streletskiy, D. A., Schoeneich, P., Romanovsky, V. E., Lewkowicz, A. G.,
Abramov, A., Allard, M., Boike, J., Cable, W. L., Christiansen, H. H.,
Delaloye, R., Diekmann, B., Drozdov, D., Etzelmüller, B., Grosse, G.,
Guglielmin, M., Ingeman-Nielsen, T., Isaksen, K., Ishikawa, M., Johansson,
M., Johannsson, H., Joo, A., Kaverin, D., Kholodov, A., Konstantinov, P.,
Kröger, T., Lambiel, C., Lanckman, J.-P., Luo, D., Malkova, G.,
Meiklejohn, I., Moskalenko, N., Oliva, M., Phillips, M., Ramos, M., Sannel,
A. B. K., Sergeev, D., Seybold, C., Skryabin, P., Vasiliev, A., Wu, Q.,
Yoshikawa, K., Zheleznyak, M., and Lantuit, H.: Permafrost is warming at a
global scale, Nat. Commun., 10, 264, https://doi.org/10.1038/s41467-018-08240-4,
2019.
Bockheim, J. G. and Hinkel, K. M.: Accumulation of Excess Ground Ice in an
Age Sequence of Drained Thermokarst Lake Basins, Arctic Alaska, Permafr.
Periglac. Process., 23, 231–236, https://doi.org/10.1002/ppp.1745, 2012.
Borge, A. F., Westermann, S., Solheim, I., and Etzelmüller, B.: Strong degradation of palsas and peat plateaus in northern Norway during the last 60 years, The Cryosphere, 11, 1–16, https://doi.org/10.5194/tc-11-1-2017, 2017.
Burke, E. J., Zhang, Y., and Krinner, G.: Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change, The Cryosphere, 14, 3155–3174, https://doi.org/10.5194/tc-14-3155-2020, 2020.
Chadburn, S. E., Burke, E. J., Cox, P. M., Friedlingstein, P., Hugelius, G.
and Westermann, S.: An observation-based constraint on permafrost loss as a
function of global warming, Nat. Clim. Chang., 7, 340–344,
https://doi.org/10.1038/nclimate3262, 2017.
Colbeck, S. C.: An overview of seasonal snow metamorphism, Rev. Geophys.,
20, 45–61, https://doi.org/10.1029/RG020i001p00045, 1982.
Domine, F., Barrere, M., and Sarrazin, D.: Seasonal evolution of the effective thermal conductivity of the snow and the soil in high Arctic herb tundra at Bylot Island, Canada, The Cryosphere, 10, 2573–2588, https://doi.org/10.5194/tc-10-2573-2016, 2016.
Farquharson, L. M., Romanovsky, V. E., Cable, W. L., Walker, D. A., Kokelj,
S. V., and Nicolsky, D.: Climate Change Drives Widespread and Rapid
Thermokarst Development in Very Cold Permafrost in the Canadian High Arctic,
Geophys. Res. Lett., 46, 6681–6689, https://doi.org/10.1029/2019GL082187, 2019.
Forlani, G., Dall'Asta, E., Diotri, F., di Cella, U. M., Roncella, R., and
Santise, M.: Quality Assessment of DSMs Produced from UAV Flights
Georeferenced with On-Board RTK Positioning, Remote Sens., 10, 311,
https://doi.org/10.3390/rs10020311, 2018.
French, H. M.: The periglacial environment, 4th edn., John Wiley &
Sons Ltd., Chichester, England, ISBN: 978-1-119-13278-3
2018.
Fronzek, S., Carter, T. R., Räisänen, J., Ruokolainen, L., and Luoto,
M.: Applying probabilistic projections of climate change with impact models:
a case study for sub-arctic palsa mires in Fennoscandia, Clim. Change,
99, 515–534, https://doi.org/10.1007/s10584-009-9679-y, 2010.
Gisnås, K., Westermann, S., Schuler, T. V., Litherland, T., Isaksen, K., Boike, J., and Etzelmüller, B.: A statistical approach to represent small-scale variability of permafrost temperatures due to snow cover, The Cryosphere, 8, 2063–2074, https://doi.org/10.5194/tc-8-2063-2014, 2014.
Göckede, M., Kittler, F., Kwon, M. J., Burjack, I., Heimann, M., Kolle, O., Zimov, N., and Zimov, S.: Shifted energy fluxes, increased Bowen ratios, and reduced thaw depths linked with drainage-induced changes in permafrost ecosystem structure, The Cryosphere, 11, 2975–2996, https://doi.org/10.5194/tc-11-2975-2017, 2017.
Göckede, M., Kwon, M. J., Kittler, F., Heimann, M., Zimov, N., and Zimov,
S.: Negative feedback processes following drainage slow down permafrost
degradation, Glob. Chang. Biol., 25, 3254–3266, https://doi.org/10.1111/gcb.14744,
2019.
Hinkel, K. M. and Hurd, J. K.: Permafrost destabilization and thermokarst
following snow fence installation, Barrow, Alaska, USA, Arctic, Antarct.
Alp. Res., 38, 530–539,
https://doi.org/10.1657/1523-0430(2006)38[530:PDATFS]2.0.CO;2, 2006.
Jaud, M., Passot, S., Le Bivic, R., Delacourt, C., Grandjean, P., and Le
Dantec, N.: Assessing the Accuracy of High Resolution Digital Surface Models
Computed by PhotoScan® and MicMac® in
Sub-Optimal Survey Conditions, Remote Sens., 8, 465,
https://doi.org/10.3390/rs8060465, 2016.
Jones, B. M., Baughman, C. A., Romanovsky, V. E., Parsekian, A. D., Babcock, E. L., Stephani, E., Jones, M. C., Grosse, G., and Berg, E. E.: Presence of rapidly degrading permafrost plateaus in south-central Alaska, The Cryosphere, 10, 2673–2692, https://doi.org/10.5194/tc-10-2673-2016, 2016.
Kokelj, S. V. and Burn, C. R.: Ground ice and soluble cations in
near-surface permafrost, Inuvik, Northwest Territories, Canada, Permafr.
Periglac. Process., 14, 275–289, https://doi.org/10.1002/ppp.458, 2003.
Koven, C. D., Schuur, E. A. G., Schädel, C., Bohn, T. J., Burke, E. J.,
Chen, G., Chen, X., Ciais, P., Grosse, G., Harden, J. W., Hayes, D. J.,
Hugelius, G., Jafarov, E. E., Krinner, G., Kuhry, P., Lawrence, D. M.,
MacDougall, A. H., Marchenko, S. S., McGuire, A. D., Natali, S. M.,
Nicolsky, D. J., Olefeldt, D., Peng, S., Romanovsky, V. E., Schaefer, K. M.,
Strauss, J., Treat, C. C., and Turetsky, M.: A simplified, data-constrained
approach to estimate the permafrost carbon–climate feedback, Philos. T. Roy. Soc. A, 373, 20140423,
https://doi.org/10.1098/rsta.2014.0423, 2015.
Lacelle, D., Davila, A. F., Fisher, D., Pollard, W. H., DeWitt, R.,
Heldmann, J., Marinova, M. M., and McKay, C. P.: Excess ground ice of
condensation–diffusion origin in University Valley, Dry Valleys of
Antarctica: Evidence from isotope geochemistry and numerical modeling,
Geochim. Cosmochim. Acta, 120, 280–297, https://doi.org/10.1016/j.gca.2013.06.032,
2013.
Langer, M., Westermann, S., Walter Anthony, K., Wischnewski, K., and Boike, J.: Frozen ponds: production and storage of methane during the Arctic winter in a lowland tundra landscape in northern Siberia, Lena River delta, Biogeosciences, 12, 977–990, https://doi.org/10.5194/bg-12-977-2015, 2015.
Langer, M., Westermann, S., Boike, J., Kirillin, G., Grosse, G., Peng, S.,
and Krinner, G.: Rapid degradation of permafrost underneath waterbodies in
tundra landscapes-Toward a representation of thermokarst in land surface
models, J. Geophys. Res.-Earth Surf., 121, 2446–2470,
https://doi.org/10.1002/2016JF003956, 2016.
Liljedahl, A. K., Boike, J., Daanen, R. P., Fedorov, A. N., Frost, G. V.,
Grosse, G., Hinzman, L. D., Iijma, Y., Jorgenson, J. C., Matveyeva, N.,
Necsoiu, M., Raynolds, M. K., Romanovsky, V. E., Schulla, J., Tape, K. D.,
Walker, D. A., Wilson, C., Yabuki, H., and Zona, D.: Pan-Arctic ice-wedge
degradation in warming permafrost and influence on tundra hydrology, Nat.
Geosci., 9, 312–318, https://doi.org/10.1038/ngeo2674, 2016.
Lindgren, A., Hugelius, G., and Kuhry, P.: Extensive loss of past permafrost
carbon but a net accumulation into present-day soils, Nature, 560,
219–222, https://doi.org/10.1038/s41586-018-0371-0, 2018.
Luoto, M., Fronzek, S., and Zuidhoff, F. S.: Spatial modelling of palsa mires
in relation to climate in northern Europe, Earth Surf. Process. Land.,
29, 1373–1387, https://doi.org/10.1002/esp.1099, 2004.
Mamet, S. D., Chun, K. P., Kershaw, G. G. L., Loranty, M. M., and Peter
Kershaw, G.: Recent Increases in Permafrost Thaw Rates and Areal Loss of
Palsas in the Western Northwest Territories, Canada, Permafr. Periglac.
Process., 28, 619–633, https://doi.org/10.1002/ppp.1951, 2017.
Martin, L. C. P., Nitzbon, J., Aas, K. S. S., Etzelmüller, B.,
Kristiansen, H., and Westermann, S.: Stability Conditions of Peat Plateaus
and Palsas in Northern Norway, J. Geophys. Res.-Earth Surf., 124,
705–719, https://doi.org/10.1029/2018JF004945, 2019.
Martin, L. C. P., Nitzbon, J., Langer, M., and Westerman, S.: CryoGrid/CryoGrid3: Model setup for representing lateral thermokarst in a peat plateau (Version v1.0.2), Zenodo, https://doi.org/10.5281/zenodo.4915955, 2021.
McGuire, A. D., Lawrence, D. M., Koven, C., Clein, J. S., Burke, E., Chen,
G., Jafarov, E., MacDougall, A. H., Marchenko, S., Nicolsky, D., Peng, S.,
Rinke, A., Ciais, P., Gouttevin, I., Hayes, D. J., Ji, D., Krinner, G.,
Moore, J. C., Romanovsky, V., Schädel, C., Schaefer, K., Schuur, E. A.
G. G., and Zhuang, Q.: Dependence of the evolution of carbon dynamics in the
northern permafrost region on the trajectory of climate change, P. Natl.
Acad. Sci. USA, 115, 3882–3887, https://doi.org/10.1073/pnas.1719903115, 2018.
Monin, A. S. and Obukhov, A. M.: Basic laws of turbulent mixing in the
surface layer of the atmosphere, Contrib. Geophys. Inst. Acad. Sci. USSR,
151, 163–187, 1954.
Morgalev, Y. N., Lushchaeva, I. V., Morgaleva, T. G., Kolesnichenko, L. G.,
Loiko, S. V., Krickov, I. V., Lim, A., Raudina, T. V., Volkova, I. I.,
Shirokova, L. S., Morgalev, S. Y., Vorobyev, S. N., Kirpotin, S. N., and
Pokrovsky, O. S.: Bacteria primarily metabolize at the active
layer/permafrost border in the peat core from a permafrost region in western
Siberia, Polar Biol., 40, 1645–1659, https://doi.org/10.1007/s00300-017-2088-1,
2017.
Morse, P. D., Burn, C. R., and Kokelj, S. V.: Near-surface ground-ice
distribution, Kendall Island Bird Sanctuary, western Arctic coast, Canada,
Permafr. Periglac. Process., 20, 155–171, https://doi.org/10.1002/ppp.650, 2009.
Motorin, A. S., Bukin, A. V., and Iglovikov, A. V.: Water-physical properties
of drained peat soils of Northern Trans-Ural forest-steppe zone, IOP Conf.
Ser. Earth Environ. Sci., 90, 012053, https://doi.org/10.1088/1755-1315/90/1/012053,
2017.
Natali, S. M., Watts, J. D., Rogers, B. M., Potter, S., Ludwig, S. M.,
Selbmann, A.-K., Sullivan, P. F., Abbott, B. W., Arndt, K. A., Birch, L.,
Björkman, M. P., Bloom, A. A., Celis, G., Christensen, T.
R., Christiansen, C. T., Commane, R., Cooper, E. J., Crill, P., Czimczik,
C., Davydov, S., Du, J., Egan, J. E., Elberling, B., Euskirchen, E. S.,
Friborg, T., Genet, H., Göckede, M., Goodrich, J. P., Grogan, P.,
Helbig, M., Jafarov, E. E., Jastrow, J. D., Kalhori, A. A. M., Kim, Y.,
Kimball, J. S., Kutzbach, L., Lara, M. J., Larsen, K. S., Lee, B.-Y., Liu,
Z., Loranty, M. M., Lund, M., Lupascu, M., Madani, N., Malhotra, A.,
Matamala, R., McFarland, J., McGuire, A. D., Michelsen, A., Minions, C.,
Oechel, W. C., Olefeldt, D., Parmentier, F.-J. W., Pirk, N., Poulter, B.,
Quinton, W., Rezanezhad, F., Risk, D., Sachs, T., Schaefer, K., Schmidt, N.
M., Schuur, E. A. G., Semenchuk, P. R., Shaver, G., Sonnentag, O., Starr,
G., Treat, C. C., Waldrop, M. P., Wang, Y., Welker, J., Wille, C., Xu, X.,
Zhang, Z., Zhuang, Q., and Zona, D.: Large loss of CO2 in winter observed
across the northern permafrost region, Nat. Clim. Chang., 9, 852–857,
https://doi.org/10.1038/s41558-019-0592-8, 2019.
Nitzbon, J., Langer, M., Westermann, S., Martin, L., Aas, K. S., and Boike, J.: Pathways of ice-wedge degradation in polygonal tundra under different hydrological conditions, The Cryosphere, 13, 1089–1123, https://doi.org/10.5194/tc-13-1089-2019, 2019.
Nitzbon, J., Westermann, S., Langer, M., Martin, L. C. P., Strauss, J.,
Laboor, S., and Boike, J.: Fast response of cold ice-rich permafrost in
northeast Siberia to a warming climate, Nat. Commun., 11, 2201,
https://doi.org/10.1038/s41467-020-15725-8, 2020.
Nitzbon, J., Langer, M., Martin, L. C. P., Westermann, S., Schneider von Deimling, T., and Boike, J.: Effects of multi-scale heterogeneity on the simulated evolution of ice-rich permafrost lowlands under a warming climate, The Cryosphere, 15, 1399–1422, https://doi.org/10.5194/tc-15-1399-2021, 2021.
Nwaishi, F. C., Morison, M. Q., Van Huizen, B., Khomik, M., Petrone, R. M.,
and Macrae, M. L.: Growing season CO2 exchange and evapotranspiration
dynamics among thawing and intact permafrost landforms in the Western Hudson
Bay lowlands, Permafr. Periglac. Process., 31, 509–523, https://doi.org/10.1002/ppp.2067,
2020.
O'Gorman, P. A.: Contrasting responses of mean and extreme snowfall to
climate change, Nature, 512, 416–418, https://doi.org/10.1038/nature13625, 2014.
Obu, J., Westermann, S., Bartsch, A., Berdnikov, N., Christiansen, H. H.,
Dashtseren, A., Delaloye, R., Elberling, B., Etzelmüller, B., Kholodov,
A., Khomutov, A., Kääb, A., Leibman, M. O., Lewkowicz, A. G., Panda,
S. K., Romanovsky, V., Way, R. G., Westergaard-Nielsen, A., Wu, T., Yamkhin,
J., and Zou, D.: Northern Hemisphere permafrost map based on TTOP modelling
for 2000–2016 at 1 km2 scale, Earth-Sci. Rev., 193,
299–316, https://doi.org/10.1016/j.earscirev.2019.04.023, 2019.
Osterkamp, T. E., Jorgenson, M. T., Schuur, E. A. G., Shur, Y. L.,
Kanevskiy, M. Z., Vogel, J. G., and Tumskoy, V. E.: Physical and ecological
changes associated with warming permafrost and thermokarst in Interior
Alaska, Permafr. Periglac. Process., 20, 235–256, https://doi.org/10.1002/ppp.656,
2009.
Park, H., Fedorov, A. N., and Walsh, J. E.: Effect of snow cover on
pan-Arctic permafrost thermal regimes, Clim. Dynam., 44, 2873–2895,
https://doi.org/10.1007/s00382-014-2356-5, 2015.
Parviainen, M. and Luoto, M.: Climate envelopes of mire complex types in
Fennoscandia, Geogr. Ann. Ser. A Phys. Geogr., 89, 137–151,
https://doi.org/10.1111/j.1468-0459.2007.00314.x, 2007.
Payette, S., Delwaide, A., Caccianiga, M., and Beauchemin, M.: Accelerated
thawing of subarctic peatland permafrost over the last 50 years, Geophys.
Res. Lett., 31, L18208, https://doi.org/10.1029/2004GL020358, 2004.
Raynolds, M. K., Jorgenson, J. C., Jorgenson, M. T., Kanevskiy, M.,
Liljedahl, A. K., Nolan, M., Sturm, M., and Walker, D. A.: Landscape impacts
of 3D-seismic surveys in the Arctic National Wildlife Refuge, Alaska, Ecol.
Appl., 30, e02143, https://doi.org/10.1002/eap.2143, 2020.
Sannel, A. B. K.: Ground temperature and snow depth variability within a
subarctic peat plateau landscape, Permafr. Periglac. Process., 31,
255–263, https://doi.org/10.1002/ppp.2045, 2020.
Sannel, A. B. K. and Kuhry, P.: Warming-induced destabilization of peat
plateau/thermokarst lake complexes, J. Geophys. Res.-Biogeo., 116, G03035,
https://doi.org/10.1029/2010JG001635, 2011.
Sannel, A. B. K., Hugelius, G., Jansson, P., and Kuhry, P.: Permafrost
Warming in a Subarctic Peatland – Which Meteorological Controls are Most
Important?, Permafr. Periglac. Process., 27, 177–188,
https://doi.org/10.1002/ppp.1862, 2016.
Schneebeli, M. and Sokratov, S. A.: Tomography of temperature gradient
metamorphism of snow and associated changes in heat conductivity, Hydrol.
Process., 18, 3655–3665, https://doi.org/10.1002/hyp.5800, 2004.
Schneider von Deimling, T., Lee, H., Ingeman-Nielsen, T., Westermann, S., Romanovsky, V., Lamoureux, S., Walker, D. A., Chadburn, S., Trochim, E., Cai, L., Nitzbon, J., Jacobi, S., and Langer, M.: Consequences of permafrost degradation for Arctic infrastructure – bridging the model gap between regional and engineering scales, The Cryosphere, 15, 2451–2471, https://doi.org/10.5194/tc-15-2451-2021, 2021.
Schuur, E. A. G., Vogel, J. G., Crummer, K. G., Lee, H., Sickman, J. O., and
Osterkamp, T. E.: The effect of permafrost thaw on old carbon release and
net carbon exchange from tundra, Nature, 459, 556–559,
https://doi.org/10.1038/nature08031, 2009.
Schuur, E. A. G., McGuire, A. D., Grosse, G., Harden, J. W., Hayes, D. J.,
Hugelius, G., Koven, C. D., and Kuhry, P.: Climate change and the permafrost
carbon feedback, Nature, 520, 171–179,
https://doi.org/10.1038/nature14338, 2015.
Seppälä, M.: The term “palsa”, Z. Geomorphol.,
16, 463, 1972.
Seppälä, M.: An experimental study of the formation of palsas, 4th
Can. Permafr. Conf., Calgary, Alberta, 2–6 March 1981, 36–42, 1982.
Seppälä, M.: Palsas and related forms, Adv. Periglac. Geomorphol.,
247–278, 1988.
Seppälä, M.: How to make a palsa: a field experiment on permafrost
formation, Z. Geomorphol., 99, 91–96,
https://doi.org/10.1127/zfgsuppl/99/1995/91, 1995.
Seppälä, M.: Synthesis of studies of palsa formation underlining the
importance of local environmental and physical characteristics, Quat. Res.,
75, 366–370, https://doi.org/10.1016/j.yqres.2010.09.007, 2011.
Serikova, S., Pokrovsky, O. S., Ala-Aho, P., Kazantsev, V., Kirpotin, S. N.,
Kopysov, S. G., Krickov, I. V., Laudon, H., Manasypov, R. M., Shirokova, L.
S., Soulsby, C., Tetzlaff, D., and Karlsson, J.: High riverine CO2 emissions
at the permafrost boundary of Western Siberia, Nat. Geosci., 11,
825–829, https://doi.org/10.1038/s41561-018-0218-1, 2018.
Sherstyukov, A. B. and Sherstyukov, B. G.: Spatial features and new trends
in thermal conditions of soil and depth of its seasonal thawing in the
permafrost zone, Russ. Meteorol. Hydrol., 40, 73–78,
https://doi.org/10.3103/S1068373915020016, 2015.
Sjöberg, Y., Coon, E., K. Sannel, A. B., Pannetier, R., Harp, D.,
Frampton, A., Painter, S. L., and Lyon, S. W.: Thermal effects of groundwater
flow through subarctic fens: A case study based on field observations and
numerical modeling, Water Resour. Res., 52, 1591–1606,
https://doi.org/10.1002/2015WR017571, 2016.
Skamarock, W. C. and Klemp, J. B.: A time-split nonhydrostatic atmospheric
model for weather research and forecasting applications, J. Comput. Phys.,
227, 3465–3485, https://doi.org/10.1016/j.jcp.2007.01.037, 2008.
Sollid, J. and Sørbel, L.: Palsa Bogs as a Climate Indicator-Examples, Ambio, 27, 287–291, 1998.
Sturm, M., Holmgren, J., König, M., and Morris, K.: The thermal
conductivity of seasonal snow, J. Glaciol., 43, 26–41,
https://doi.org/10.1017/S0022143000002781, 1997.
Subedi, R., Kokelj, S. V., and Gruber, S.: Ground ice, organic carbon and soluble cations in tundra permafrost soils and sediments near a Laurentide ice divide in the Slave Geological Province, Northwest Territories, Canada, The Cryosphere, 14, 4341–4364, https://doi.org/10.5194/tc-14-4341-2020, 2020.
Teufel, B. and Sushama, L.: Abrupt changes across the Arctic permafrost
region endanger northern development, Nat. Clim. Chang., 9, 858–862,
https://doi.org/10.1038/s41558-019-0614-6, 2019.
Thibault, S. and Payette, S.: Recent permafrost degradation in bogs of the
James Bay area, northern Quebec, Canada, Permafr. Periglac. Process., 20,
383–389, https://doi.org/10.1002/ppp.660, 2009.
Turetsky, M. R., Abbott, B. W., Jones, M. C., Anthony, K. W., Olefeldt, D.,
Schuur, E. A. G., Grosse, G., Kuhry, P., Hugelius, G., Koven, C., Lawrence,
D. M., Gibson, C., Sannel, A. B. K., and McGuire, A. D.: Carbon release
through abrupt permafrost thaw, Nat. Geosci., 13, 138–143,
https://doi.org/10.1038/s41561-019-0526-0, 2020.
Vionnet, V., Brun, E., Morin, S., Boone, A., Faroux, S., Le Moigne, P., Martin, E., and Willemet, J.-M.: The detailed snowpack scheme Crocus and its implementation in SURFEX v7.2, Geosci. Model Dev., 5, 773–791, https://doi.org/10.5194/gmd-5-773-2012, 2012.
Westermann, S.: Research data for “Thermal erosion patterns of permafrost peat plateaus in northern Norway” [Data set], Norstore,
https://doi.org/10.11582/2021.00052, 2021.
Walczak, R. and Rovdan, E.: Water retention characteristics of peat and sand
mixtures, Int. Agrophysics, 16, 161–165, 2002.
Way, R. G., Lewkowicz, A. G., and Zhang, Y.: Characteristics and fate of isolated permafrost patches in coastal Labrador, Canada, The Cryosphere, 12, 2667–2688, https://doi.org/10.5194/tc-12-2667-2018, 2018.
Westermann, S., Langer, M., Boike, J., Heikenfeld, M., Peter, M., Etzelmüller, B., and Krinner, G.: Simulating the thermal regime and thaw processes of ice-rich permafrost ground with the land-surface model CryoGrid 3, Geosci. Model Dev., 9, 523–546, https://doi.org/10.5194/gmd-9-523-2016, 2016.
Short summary
It is important to understand how permafrost landscapes respond to climate changes because their thaw can contribute to global warming. We investigate how a common permafrost morphology degrades using both field observations of the surface elevation and numerical modeling. We show that numerical models accounting for topographic changes related to permafrost degradation can reproduce the observed changes in nature and help us understand how parameters such as snow influence this phenomenon.
It is important to understand how permafrost landscapes respond to climate changes because their...
